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Development of a Storage-Reliability Estimation Method Using Quantal Response Data for One-Shot Systems with Low Reliability-Decreasing Rates

미소한 신뢰도 감소율을 가지는 원샷 시스템의 가부반응 데이터를 이용한 저장 신뢰도 추정방법 개발

  • 장현정 (안동대학교 기계공학과) ;
  • 손영갑 (안동대학교 기계자동차공학과)
  • Received : 2011.05.17
  • Accepted : 2011.06.28
  • Published : 2011.10.01

Abstract

This paper proposes a new reliability estimation method for one-shot systems using quantal response data, which is based on a parametric estimation method. The proposed method considers the time-variant failure ratio of the quantal response data and it can overcome the problems in parametric estimation methods. Seven reliability estimation methods in the literature were compared with the proposed method in terms of the accuracy of reliability estimation in order to verify the proposed method. To compare the accuracy of reliability estimation, the SSEs (Sum of Squared Error) of the reliability estimation results for the different estimation methods were evaluated according to the various numbers of samples tested. The proposed method provided more accurate reliability estimation results than any of the other methods from the results of the accuracy comparison.

본 논문은 탄약, 미사일, 우주발사체 등과 같은 일회성(one-shot) 시스템의 가부반응데이터를 이용하여 신뢰도를 추정하는 새로운 방법을 제안한다. 제안한 방법은 모수 추정법을 기반으로 한다. 제안한 방법은 가부반응 데이터의 시간에 따른 고장 비율 감소를 고려하였으며 모수 추정법의 문제점을 극복할 수 있다. 기존 문헌에 공개된 7 가지 추정방법들과 제안한 방법과의 정확성을 비교하여 제안한 방법을 검증하였다. 정확성 비교 시, 다양한 샘플 수 변화를 고려하여 신뢰도 추정결과에 대한 SSE를 이용하였다. 정확성 비교 결과, 제안한 방법은 다른 방법에 비해 정확성이 높은 신뢰도 추정결과를 제공하였다.

Keywords

References

  1. Guikema, S.D., 2005, "A Comparison of Reliability Estimation Methods for Binary Systems," Reliability Engineering and System Safety, Vol. 87, pp. 365-376 https://doi.org/10.1016/j.ress.2004.06.007
  2. Nelson, W. B., 1982, Applied Life Data Analysis, Wiley.
  3. Ryu, J.-H., Back, S.-J. and Son, Y. K., 2010, "Comparison of Reliability Estimation Methods for Ammunition Systems with Quantal-Response Data," Journal of the Korean Institute of Military Science and Technology, Vol. 13, No. 6, pp. 1-8
  4. Celeux, G., Lavergne, C. and Vernaz, Y., 2000, "Assessing Material Aging from Doubly Censored Data: Weibull Distribution vs. Poisson Process," Institut National De Recherche En Informatique Et En Automatique.
  5. Son, Y. K. and Jang H. J., 2010, "Comparison of Reliability Estimation Methods for One-Shot Systems Using Accelerated Life Tests," Journal of the Korean Institute of Industrial Engineers, Vol. 36, No. 4, pp. 212-218
  6. Back, S.-J., Chang, I.-H., Park, B.-C., Jung, E.-J., and Son, Y. K., 2009, "Storage Lifetime Improvement of K1 Delay Systems Through Implementing Double-Base Delay Columns," Proceedings of The Korean Institute of Military Science and Technology conference.
  7. Hwang, C.-P. and Ke, H.-Y., 1993, "A Reliability Analysis Technique for Quantal-Response Data," Reliability Engineering and System Safety, Vol. 41, pp. 365-376.
  8. Son, Y. K., 2008, "Storage Reliability Estimation of One-Shot System," Proceedings of the Kyungbuk Branch of the KSME, pp. 19-23.
  9. Zheng, B., Cai F. and Xu J., 2004, "Evaluation of System Storage Reliability," International Journal of System & Cybernetics, Vol. 33, No. 2, pp. 438-445. https://doi.org/10.1108/03684920410514463
  10. Kim, S., 2009, Imputation Based on Local Likelihood Density Estimation for Interval Censored Survival Data with Application to Tree Mortality in British Columbia, Master Thesis, Simon Fraser Univ.